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Vasquez-Restrepo, J. D.

Publications and source records attributed to Vasquez-Restrepo, J. D..

3 recordsLinked to original sources

Taxonomic, geographic, and phylogenetic patterns in the conservation status of the squamate reptiles (Reptilia: Squamata) of Colombia

In this study, we evaluate for the first time the taxonomic, geographic, and phylogenetic patterns of both threatened and endemic squamate reptiles in Colombia at a broad scale. We employed community phylogenetic diversity metrics to assess patterns of species richness, endemism, and extinction risk. Additionally, we used spatially explicit autoregressive models to explore the relationships between this diversity and various abiotic and biotic variables. The data indicate that most reptile species have been evaluated by IUCN Red List specialist groups, although many assessments are outdated. Furthermore, there is a significant delay in local species assessments. We also observed that species richness is highest in the Amazonian region, followed by the Pacific-Andean transition. Interestingly, these richness distribution patterns do not necessarily align with the areas where most threatened and endemic species are found. Specifically, our analysis identifies the Andean region as harboring the greatest number of endemic and threatened species, as well as exhibiting high turnover and phylogenetic endemism. Regarding phylogenetic patterns, we found that threatened species contribute significantly to evolutionary history. However, threatened categories do not exhibit a phylogenetic pattern beyond what would be expected by chance. Finally, we discuss the implications of assessing the threatened status of biodiversity across multiple levels beyond simply species number, and provide a national list of species prioritized for conservation from an evolutionary viewpoint.

ecology↗

Slowing down: A macroevolutionary approach to the hypometabolic strategies of amphibians

The ability to survive harsh environmental conditions has probably been a key factor in the evolutionary success of organisms that cannot migrate long distances, such as amphibians. We expect that having a hypometabolic strategy (HS) --aestivation or hibernation-- to deal with severe climates, would be a plesiomorphic trait. We 1) inferred the ancestral state of a HS, using two phylogenies for amphibians, 2) tested if species with a HS have larger distributional ranges, and 3) explored how a HS may affect amphibian assemblage resilience using multiple models of climate change. Ancestral state reconstruction for the most recent common ancestor (MRCA) of Class Amphibia showed [~]50% probability of a HS. The probability was higher for the MRCA of each Order (>70%), suggesting a widespread HS in the ancestors of modern amphibians. Phylogenetic regressions showed no relation between the probability of having a HS and the distribution range size. Climate analyses predict that tropical zones will have the greatest change in climate, involving novel harsh seasonality. Since tropical amphibian assemblages have the lowest proportion of species with HS, they may be more vulnerable to climate change. It is probable that HS have been key for the evolutionary success in amphibians, and they will likely impact their future survival in the face of climate change. Despite the potential importance of the HS for amphibians, information was available for a diverse but only a small subset of species; we urge researchers to report data on aestivation or hibernation in amphibians to facilitate future studies.

evolutionary biology↗

A dataset containing speciation rates, uncertainty, and presence-absence matrices for more than 34,000 vertebrate species

The increasing availability of phylogenetic data has facilitated the exploration of macroecological and macroevolutionary patterns across diverse spatial and temporal scales. However, calculating some model-based diversification metrics often requires significant computational power and time. To address this, I present a comprehensive dataset of Bayesian diversification rates for over 34,000 vertebrate species, spanning five major groups: amphibians, birds, mammals, reptiles, and sharks. This is the first large-scale dataset of its kind, providing both continuous and binary data for speciation rates and presence-absence matrices, respectively, with global coverage. The dataset not only enables analyses of evolutionary and spatial diversity patterns but also democratizes access to data-intensive studies. Additionally, as it is based on Markov chains, the dataset can be customized and extended without the need to start from scratch, offering flexibility for future research on diversification dynamics.

bioinformatics↗